FordNet: Recommending traditional Chinese medicine formula via deep neural network integrating phenotype and molecule
Wuai Zhou(Tsinghua University), Shao Li(Bioinformatics Institute), Kuo Yang(Tsinghua University), Xinxing Lai(Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine), Chaofan Ji(Wannan Medical College), Xin Wang(Tsinghua University), Jianyang Zeng(Westlake University), Peng Zhang(Bioinformatics Institute), Yan Li(Wannan Medical College)
Cited by 109
Related Papers
A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information
|Nature Communications|2017|884
Network pharmacology: towards the artificial intelligence-based precision traditional Chinese medicine
|Briefings in Bioinformatics|2023|569
Allelic reprogramming of 3D chromatin architecture during early mammalian development
|Nature|2017|559
NeoDTI: neural integration of neighbor information from a heterogeneous network for discovering new drug–target interactions
|Bioinformatics|2018|380
A deep learning framework for modeling structural features of RNA-binding protein targets
|Nucleic Acids Research|2015|267